Machine Learning for Nuclear Fusion

Hello! I’m Emily, a third year PhD student at UCL’s Centre for Data Intensive Science and the Culham Centre for Fusion Energy. I’m interested in helping make nuclear fusion a viable energy source in the effort to combat climate change.

My research focus is applying data driven tools to nuclear fusion applications. Currently I am investigating physics-informed neural networks for their ability to accelerate plasma simulations on the JET reactor. My other research interests include deep learning surrogate models, cybersecurity and plasma disruption prediction.

I’m also a fellow of the Software Sustainabilty Institute where I advocate for better software practices in academia and teach introductory programming skills with the Software Carpentries.

Find an overview of my research and technical experience below or on my CV. Find me on twitter where I mainly talk about science outreach and unorthodox uses of ML. Checkout github for my personal programming projects.

Publications

Selected Technical Experience

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